Data Scientist

Responsibilities

• Design, develop, and deploy machine learning models for forecasting, prediction, and optimization use cases
• Build and evaluate time-series forecasting solutions using statistical and machine learning approaches
• Perform feature engineering including lag variables, rolling statistics, and seasonality analysis
• Conduct model validation, backtesting, and performance monitoring using appropriate evaluation metrics
• Collaborate with engineering teams to deploy machine learning solutions into production environments
• Build scalable data pipelines and automated workflows
• Partner with business, product, and engineering stakeholders to define data-driven solutions
• Mentor junior team members and contribute to data science best practices

Requirements

• 4+ years of hands-on experience in Data Science, Machine Learning, or Predictive Analytics
• Strong experience with time-series forecasting and predictive modeling
• Proficiency in Python and libraries such as Pandas, NumPy, Scikit-learn, and XGBoost
• Experience with forecasting techniques such as ARIMA, SARIMA, or Prophet
• Strong understanding of statistics, hypothesis testing, and feature engineering
• Experience working with SQL and large-scale datasets
• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field

Preferred Qualifications

• Experience in multi-entity and multi-currency financial forecasting environments
• Familiarity with cloud ML platforms such as AWS SageMaker, Azure ML, or GCP AI
• Experience implementing CI/CD and MLOps frameworks
• Exposure to probabilistic forecasting and Bayesian modeling approaches

Benefits

• Health Insurance covering spouse and parents (up to age 80)
• Provident Fund
• Gym Membership
• Yearly increments
• Company-paid trips
• Maternity benefits including leaves and WFH
• Easy loan facility for employees

About the Company

CodeNinja is a full-stack AI delivery company that helps enterprises, governments, and software acquirers build and operate intelligence-driven systems for mission-critical workflows. We specialize in deploying AI into real operations, combining strong engineering fundamentals with AI-native delivery to create measurable value and long-term ownership for our clients.